Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add helixnow/deep-student --skill card-outlinegit clone --depth 1 https://github.com/helixnow/deep-studentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/helixnow/deep-student/card-outline)<a href="https://agentmods.dev/skills/helixnow/deep-student/card-outline"><img src="https://agentmods.dev/badge/skills/helixnow/deep-student/card-outline/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/helixnow/deep-student/card-outline"><img src="https://agentmods.dev/badge/skills/helixnow/deep-student/card-outline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00051 | $0.00600 |
| Opus 5 | $0.00026 | $0.00300 |
| Sonnet 5 | $0.00010 | $0.00120 |
| Haiku 4.5 | $0.00005 | $0.00060 |
Grade A, and why
card-outline scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 43 lines · 51 tokens per session scan A 6ea93299cc0c
card-outline is a skill published in the GitHub repository helixnow/deep-student (264 stars, last pushed today), licensed AGPL-3.0. It adds 51 tokens to every session and 600 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
learning-notes-automation
A workflow for turning videos, podcasts, and articles into structured learning notes. It extracts key ideas and creates flashcards that can be imported into Anki, a spaced-repetition study app.
book-to-skill
Use when the user names one book, course, paper, or source document and asks to distill it into a reusable skill. Not for a folder of sources: use map-corpus.
take-notes
Turn a YouTube video, a web article, or several sources at once into one set of didactic study notes, written as a self-contained HTML page under /take-notes/htmlreports and opened in the browser.
engineering-blog-writing
Use when asked to write, review, or improve an engineering blog post, technical architecture deep dive, postmortem, or technical launch announcement. Produces evidence-grounded engineering copy with verified metrics, working code, and clear trade-off analysis.
drill
Use when a concept needs practising: the user asks for an exercise, quiz, recall, or gap probe. Not for explanations: use explain-concept.
explain-concept
Use when a concept needs making clear rather than practising: explain it simply, why does this exist, draw it, what is the difference, or simplify it for a beginner. Delivers a one-screen explanation from one chosen angle, grounded in sources. Not for scaffolded practice — use drill.